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1		-de
	1	+en

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1		-conda create -n openvoice python=3.9
2		-conda activate openvoice
3		-
4		-
5		-git clone [[https:~~/~~/github.com/myshell-ai/openVoice.git>>https://github.com/myshell-ai/openVoice.git]]
6		-
7		- cd openVoice
8		- pip install -e .
9		- mkdir checkpoints_v2
10		- cd checkpoints_v2
11		- wget [[https:~~/~~/myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip>>https://myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip]]
12		-
13		-unzip checkpoints_v2_0417.zip
14		-
15		-
16		-mv checkpoints_v2 ~~/OpenVoice
17		-
18		-
19		-
20		-
21		-
22		-
23		-pip install git+https:~/~/github.com/cocktailpeanut/ov2.git
24		-
25		-
26		-
27		- cd ..
28		- pip install git+https:~/~/github.com/myshell-ai/MeloTTS.git
29		- python -m unidic download
30		- cd resources
31		- python3
32		-
33		-
34		-
35	35	import os
36	36
37	37	import torch
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46	46
47	47	output_dir = 'outputs_v2'
48	48
49		-tone_color_converter = ToneColorConverter(f' {ckpt_converter} /config.json', device=device)
50		-
51		-tone_color_converter.load_ckpt(f' {ckpt_converter} /checkpoint.pth')
52		-
53		-os.makedirs (output_dir, exist_ok=True)
54		-
55		-reference_speaker = 'resources/example_reference.mp3'
56		-
57		-target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
58		-
59		-from melo.api import TTS
60		-
61		-src_path = f' {output_dir} /tmp.wav'
62		-
63		-speed = 1.0
64		-
65		-
66		-
67		-
68		-
	15	+tone_color_converter = ToneColorCOnverter(f'{ckpt_converter}/config.json', device=device)